Popular GitHub Repositories for Subgraph

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Inductive relation prediction by subgraph reasoning, ICML'20

Subgraph Neural Networks (NeurIPS 2020)

Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxiv.org/abs/2006.09252

Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)

[Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'.

A NFT Marketplace powered by Generative AI for creating NFT assets using Stable Diffusion, DALL-E and Midjourney.

Code & data accompanying the paper "Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks"

Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)

A NFT Marketplace powered by Generative AI for creating NFT assets using Stable Diffusion, DALL-E and Midjourney.

Accurate and Interpretable Drug-drug Interaction Prediction Enabled by Knowledge Subgraph Learning. Nature Communications (Medicine).

Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks

Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular property prediction and developed by NS Lab, CUK based on pure PyTorch backend.

The official source code for "Subgraph Federated Learning for Local Generalizatioin (FedLoG)" at ICLR 2025 (Oral).

Official implementation of "Higher-Order Graph Databases"

FedGT: Federated Node Classification with Scalable Graph Transformer

[ICLR 2024] "Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs"

高效地查询带有标签/属性过滤的多重有向图中的模式，支持 Neo4j 和 SQLite3 作为存储层。

Flow-a-gorithm is an algorithm-centric framework for detecting anomalies in network traffic through graph-based modeling and subgraph analysis. This project combines subgraph isomorphism, incremental detection algorithms, and a Graph Convolutional Network (GCN) to identify suspicious patterns in dynamic network flow data.

A code base for Automated Relational Feature Engineering